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Found 3 papers, 2 papers with code
Neural Cellular Automata Manifold
In biological terms, our approach would play the role of the transcription factors, modulating the mapping of genes into specific proteins that drive cellular differentiation, which occurs right before the morphogenesis.
Human Motion Prediction via Spatio-Temporal Inpainting
First, we represent the data using a spatio-temporal tensor of 3D skeleton coordinates which allows formulating the prediction problem as an inpainting one, for which GANs work particularly well.
3D CNNs on Distance Matrices for Human Action Recognition
In this paper we are interested in recognizing human actions from sequences of 3D skeleton data.
Ranked #90 on
Skeleton Based Action Recognition
on NTU RGB+D
